Computer Vision Researcher Internships
Computer vision researcher internships give university students, recent graduates, and early-career switchers hands-on project experience, mentorship from working researchers and engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated in {{top_industries_phrase}}, with Meta, KLA, and Mill among the employers posting roles now.
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Research Scientist Intern, Computational Photography & Computer Vision (PhD) Responsibilities:
- Support research activities focused on computational photography, end-to-end camera system optimization, and low-level vision tasks
- Participate in the development of proof of concept and prototype visual sensing systems
- Interact with cross-functional engineering teams to demonstrate novel imaging systems and camera hardware
Minimum Qualifications:
- 2+ years of coding experience with programming languages such as Python/Pytorch
- Advanced experience with computer vision (CV) and modern deep learning research, including algorithm development and optimization
- Demonstrated understanding and hands-on experience with computational imaging including but not limited to: image denoising, HDR imaging, super-resolution, deblurring, frame interpolation, etc
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications:
- Experience with lightweight machine learning on embedded systems, including model optimization and deployment
- Experience with the full machine vision pipeline spanning cameras, ISPs, and high-level algorithms
- Proven track record of achieving significant results in CV and ML research, as demonstrated by publications, grants, or fellowships
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Research Scientist Intern, Computational Photography & Computer Vision (PhD) Responsibilities:
- Support research activities focused on computational photography, end-to-end camera system optimization, and low-level vision tasks
- Participate in the development of proof of concept and prototype visual sensing systems
- Interact with cross-functional engineering teams to demonstrate novel imaging systems and camera hardware
Minimum Qualifications:
- 2+ years of coding experience with programming languages such as Python/Pytorch
- Advanced experience with computer vision (CV) and modern deep learning research, including algorithm development and optimization
- Demonstrated understanding and hands-on experience with computational imaging including but not limited to: image denoising, HDR imaging, super-resolution, deblurring, frame interpolation, etc
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications:
- Experience with lightweight machine learning on embedded systems, including model optimization and deployment
- Experience with the full machine vision pipeline spanning cameras, ISPs, and high-level algorithms
- Proven track record of achieving significant results in CV and ML research, as demonstrated by publications, grants, or fellowships
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Computer Vision Researcher Internship Market
Who's Hiring
Tips for Your Computer Vision Researcher Internship Search
Apply in the fall for summer roles
Large technology and research employers open summer computer vision researcher internship applications as early as August or September of the preceding year. Waiting until spring means the most competitive structured programs are already closed. Set a calendar reminder to start searching in early fall so you're applying when cohort slots are still available.
Build a public project portfolio before you apply
Hiring teams for computer vision researcher internships have limited work history to review, so a public GitHub repository with two or three complete projects, documented code, model results, and a clear README does the work your resume can't. Projects using real datasets and showing end-to-end implementation give recruiters something concrete to assess before a screen.
Work your campus network and apply directly at the same time
Campus career fairs surface structured internship programs tied to your university, and recruiters there often move faster for students they meet in person. Your professors and career center staff frequently know which employers recruit from your school before roles appear publicly. Applying directly to companies running smaller cohorts alongside campus activity widens the pool you reach.
Practice your technical screen out loud before interviews
Computer vision researcher intern screens typically include coding questions on algorithms and data structures, plus technical discussions of model architectures and implementation tradeoffs. Practice solving problems out loud and explaining your reasoning step by step, since interviewers weigh how you think through a problem as much as whether you reach the correct answer.
Target structured research and university internship programs early
Larger technology companies, national laboratories, and research organizations run cohort-based internship programs built to train people new to applied computer vision research. These programs recruit months before their start dates and fill quickly because competition is high. Identify the ones aligned with your research interests and submit in the first application wave rather than waiting for a second round.
Set your work-type filter before you start
On-site roles are 0% of the computer vision researcher internships listed here. Decide what you can realistically commit to before you start applying so you're not sorting through roles you can't take. Filter by location and work type at the start of your search on Migrate Mate to see only the openings that fit your situation.
Computer Vision Researcher Internships: Frequently Asked Questions
How do I get a computer vision researcher internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited professional experience at the intern level. Build a public portfolio, such as a GitHub repository with documented computer vision projects showing your code, datasets, and results, so recruiters have something concrete to assess. Pair direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can a computer vision researcher internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it for computer vision researcher interns is performance on real project deliverables, available headcount on the team, and how early the return-offer conversation starts. Position yourself by treating your internship project as a production-quality contribution, but build your full-time job search in parallel rather than counting on a single outcome.
When should I apply for computer vision researcher internships?
Earlier than most students expect. Large tech and research employers open summer internship applications the preceding fall, sometimes as early as August or September. Smaller companies, startups, and co-op programs post closer to their actual start dates, so openings appear year-round. Checking listings regularly and setting up alerts means you won't miss the early waves at competitive programs.
Are computer vision researcher internships paid?
Most professional computer vision researcher internships in the United States are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Unpaid internships exist but are uncommon at established technology, research, and industrial employers. Reviewing each listing directly is the most reliable way to confirm what a specific role offers.
What should a computer vision researcher internship resume include?
Lead with two or three complete, documented projects rather than work history. For computer vision researcher candidates, that means code repositories, published model benchmarks, or technical write-ups that show your implementation choices and results. Add relevant coursework in machine learning, image processing, or linear algebra. Keep the whole document to one page so reviewers can scan it quickly during high-volume intern hiring seasons.
Are there remote computer vision researcher internships?
Yes. Remote and hybrid roles make up 100% of the computer vision researcher internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants from across the country, so apply early and filter by work type to see them before they close.
What is a computer vision research internship at a national lab or university research group?
National laboratories and university research groups run structured summer research internships specifically for students building deep technical expertise in computer vision, often tied to funded projects. These programs target undergraduates and graduate students new to applied research, provide close mentorship from active researchers, and are highly competitive. Applications open months before summer, so identify programs that fit your research interests and apply in the first recruiting wave.
Can international students get computer vision researcher internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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